Importing Libraries

1. Loading Dataset

2. EDA

3. Splitting data (Training / Testing / Validation )

Normalization

4. StandardScaler

5. Creating Neural Network Model

6. Compiling Model

7. Training Model

8. Evaluating Model

9. Testing Model

10. Confusion Matrix

11. summarize history for accuracy

12.summarize history for loss

13 Serialize model to JSON

14. Serialize weights to HDF5